Anurag Chatterjee: Welcome To My Technical Projects Portfolio In Industry & Academia!'s repositories
Multilayer-Perception-MLP-Neural-Network-Implementation-In-FPGA
A final semester based group project for EE4218: Embedded Hardware System Design module in NUS where I worked with my teammate to perform Machine Learning models i.e. MLP Neural Networks on an FPGA using C, C++, Hardware Description Languages (HDL), High Level Synthesis (HLS) and Verilog.
AnuragSChatterjee
Config files for my GitHub profile.
EG3301R-Innovation-And-Design-Final-Year-Project---National-University-Of-Singapore
Our final year Innovation & Design project at the National University Of Singapore (NUS). Our project is on Smart Laundry Factory Automation using IoT and this is our first failed start-up idea.
Electricity-Prices-Prediction-Model-Using-Machine-Learning-
Tried to make an Electricity Price Predictor Model using Machine Learning for fun.
Natural-Language-Processing-NLP-For-Language-Translation
Developed code to use Google Translate API to translate different languages out of sheer curiosity only
NUS-CS3237-Introduction-To-Internet-Of-Things-IoT
An IoT module that I took as a year 4 undergraduate at the National University Of Singapore (NUS). Used TensorFlow, Keras and C++ for my labs and final group project.
AnuragSChatterjee-British-Airways-Data-Science-Virtual-Experience-Program
Pursued a Data Science Virtual Experience Program by British Airways, where I used Python, Web Scraping, Machine Learning Models & NLP for sentiment analysis.
Computer-Vision-In-OpenCV
After completing a Computer Vision course on Kaggle and having after earned a Certificate In Computer Vision, I thought of practicing some OpenCV concepts from the documentations.
FAST-API---Used-This-Repository-For-My-Own-Project
FastAPI framework, high performance, easy to learn, fast to code, ready for production. Link to my Project here: https://github.com/AnuragSChatterjee/FAST-API-Based-Heatmap-Dashboard-For-Live-Camera-Data-Analysis-For-Activity-Classification
Kaggle-Data-Science-And-Machine-Learning-Competitions-2023
All my worked solutions for all Data Science And Machine Learning competitions that I've attempted on Kaggle in 2023.
Leetcode-Easy-Questions---My-Solutions-To-Top-100-Interview-Questions
Did some of the coding problems in Python, C and C++ for the Top 100 Interview Questions under the Easy category just for the sake of practice.
NUS-EE4211-Data-Science-For-The-Internet-Of-Things-IoT
My final year NUS module on SVM, Decision Trees, Linear & Logistic Regression, Naive Bayes, Neural Networks & IoT Systems, and a Data Science Project on data forecasting for an actual IoT system.
NUS-Mars-Rover-Team-2021-22-Electrical-Engineering-Team
Worked as an Electrical Engineer for the NUS Mars Rover Team - a engineering team representing NUS where we competed with 50+ universities worldwide. Worked on Component Design & Power Calculations.
Ultralytics-YOLOv5-In-Pytorch-For-Object-Detection-And-Tracking
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Data-Visualization-Kaggle-Course
Did up coding exercises on Data Visualization on Kaggle using Seaborn and Matplotlib on random datasets that I found on Kaggle's database.
EE4204_Computer-Networks_In_Ubuntu_And_Linux
A computer networks module that I took as an undergraduate at the National University Of Singapore (NUS). Did my lab assignment on fixed and varying batch size messaging transfer protocols in UDP using Ubuntu (A Linux Distribution System), C and Socket Programming.
Fake-News-Detection-Using-Machine-Learning
Fake News Detection Using Machine Learning In Python.
Figma-UI-Design-Thales-Internship-Concept-Map
Made an introductory concept map using Figma during my internship in Thales, a French MNC (Singapore Office) where I presented a dashboard to a UI designer for a customer.
HackerRank-Basic-C-Questions-Under-Prepare-Section
Did some of the basic C++ questions on HackerRank under the Prepare section.
HackerRank-SQL-Basic-And-Intermediate-Questions-Under-Prepare-Section---All-Easy-Questions
Did all SQL (MySQL) easy questions under SQL (Basic) Category and in the Prepare section in HackerRank.
Introduction-To-Machine-Learning-In-Python-On-Kaggle
Pursued an Introductory Machine Learning course in Python on Kaggle in my free time, where I practiced on a dataset and built a small model on Kaggle.
Language-Detection-Machine-Learning-Model
Did a Machine Learning Project to improve my knowledge in my free time on language detection using Multinomial Naive Bayes Classifier using a sample dataset that I found online.
NUS-EE2026-Digital-Design
Took a module on Digital Design Fundamentals during my year 2 of my undergraduate studies of Electronic Circuits done using VHDL and Verilog, with a final project on FPGA Programmed Flappy Bird Gaming System using Sound and Light effects.
NUS-EE2028-Microcontroller-Programming-And-Interfacing
Took a module on Microcontroller Programming using Assembly Language during my year 2 undergraduate in the National University Of Singapore. All the labs and project are a part of this module.
NUS-EE2028A-Introduction-To-C-Programming
Took a module on C Programming as an undergraduate in the National University Of Singapore. All the labs are a part of this module.
NUS-EG4301A-Ideas-To-Startup-Final-Year-Innovation-Design-Entrepreneurship-Project
Our final year iDP entrepreneurship project where we aim to integrate different brands of devices into a single network for smarter homes to enable a more convenient lifestyle for Singaporeans. I have been entrusted with the responsibility of being the In-Charge of the Marketing, Design and Technical Architecture of the startup project.
Parkinson-Disease-Prediction-Using-Machine-Learning
Parkinson's Disease Prediction Using Machine Learning In Python.
StrongSORT-YOLO-Using-PyTorch-And-OSNet
Real-time multi-camera multi-object tracker using (YOLOv5, YOLOv7) and StrongSORT with OSNet
Ultralytics-For-Computer-Vision
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
YOLOv7-For-Object-Tracking-And-Detection
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors